Bachelor's degree in Computer Science, Engineering, or related area
7-10 years of overall experience minimum 2-3 years of relevant experience as Architect
Understanding of complete data analytics stack and workflow, from ETL/ELT to data platform design to BI and analytics tools
Experience designing and developing performance-optimized data models
Experience with modern Cloud Data Architectures, Big Data Platforms, Microservices Architecture
Very good experience in any traditional and/or modern ETL/ELT tools
Experience in any reporting tools incl Tableau, Power BI, Sigma, ThoughtSpot
Cloud experience preferred (AWS or Azure or GCP).
Advanced knowledge of leading architecture solutions in the industry area
Excellent analytical, strategic conceptual thinking, and consulting skills
Excellent interpersonal and collaboration skills
Ability to demonstrate technical concepts to non-technical audiences
Job Responsibilities:
Architect and deliver high-performance, highly-scalable and flexible, cost-effective, cloud-based enterprise business data and analytics solutions
Assess and understand the ETL/ELT jobs, workflows, BI tools, and reports
Define a high-level roadmap for modernization to Cloud Data Platforms along with a future state reference architecture
Improve existing data pipelines in the cloud for data transformation and aggregation
Guide the team to handle configurations for multiple departments/groups within a single environment stack
Lead data analytics team for implementing best practices and standard methodologies
Enable partners to make key decisions with accurate data analysis, reports, and presentations of key findings
Collaborate with business users to create architecture in alignment with business need
Build, maintain, and strengthen relationship with stakeholders
Champion the adoption of reusable architecture assets to improve efficiency
Produce documentation to aid in the understanding of existing architecture solutions
Provide technical leadership as it relates to developing strategy, scalability, performance, architecture and overall high-level design to ensure solution quality
Use standard methods of development spanning the full development lifecycle
